San Francisco, Mountain View, KirklandFull TimeEngineering
Remotely
reinforcement learningfoundation modelsautonomous vehiclesdistributed trainingdistillationfsdptrajectory planningdata parallel
Job Description
📋 Description
- Participate in Waymo's Foundation World Model post-training and evaluation
- Research and develop cutting edge RL and Distillation techniques for Autonomous Vehicle Trajectory
- Integrate emerging research from the broader AI community into Waymo's internal RL infrastructure
- Partner with engineering and research teams across Waymo to share recipes, techniques, and
🎯 Requirements
- PhD or Masters in Computer Science, Machine Learning, Robotics, or a similar technical field; with
- Demonstration of original contributions to the field through high-impact publications (ArXiv
- Proficiency in implementing model training flows in a scalable, distributed and performant manner
- A willingness to work with complexity of globally distributed inference infrastructure
🎁 Benefits
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for
- Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
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